This talk will show how Gen AI can reason about these problems in ways that current tools can't. We'll walk through vulnerable code examples across three categories: authentication, authorization, and secure design. You'll see where Gen AI excels, fails, and how to get measurable results from a technology that is inherently inconsistent. You'll leave with concrete prompting strategies and a methodology for turning unpredictable AI output into something your team can actually act on.